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AI-Agent-Risk-Evaluation Security Audit Report

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AI-Agent-Risk-Evaluation is an AI agent skill, created by ZhongdaoChen and published at ZhongdaoChen/AI-Agent-Risk-Evaluation. ClawSecure audited AI-Agent-Risk-Evaluation across 35 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 0/100 (High Risk). The 21 findings concentrate in Code Injection, Malicious Code and Permissions Manifest, including Attempts to access sensitive file: .ssh/ and Attempts to access sensitive file: .ssh/. 19 were rated high or critical severity.

Is AI-Agent-Risk-Evaluation safe?

ClawSecure audited AI-Agent-Risk-Evaluation and assigned a security score of 0/100 (High Risk), identifying 21 findings across Code Injection and Malicious Code. Review the findings below before installing.

What did ClawSecure find in AI-Agent-Risk-Evaluation?

ClawSecure identified 21 findings in AI-Agent-Risk-Evaluation, concentrated in Code Injection, Malicious Code and Permissions Manifest. 19 were rated high or critical severity. The most severe include Attempts to access sensitive file: .ssh/ and Attempts to access sensitive file: .ssh/.

How was AI-Agent-Risk-Evaluation audited?

ClawSecure ran AI-Agent-Risk-Evaluation through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 35 files from ZhongdaoChen/AI-Agent-Risk-Evaluation.

What does a score of 0 mean?

ClawSecure assigned AI-Agent-Risk-Evaluation a security score of 0/100, placing it in the High Risk range. This is driven by 21 findings led by Code Injection that should be addressed before use. ClawSecure derives this score with a weighted deduction model (critical -20, high -10, medium -5, low -2 from a base of 100).

Audit Findings for AI-Agent-Risk-Evaluation

ClawSecure detected 21 security findings in AI-Agent-Risk-Evaluation, spanning Code Injection, Malicious Code, Permissions Manifest and ReDoS.

Showing the 12 highest-severity of 21 findings. The full interactive list appears below.

3-Layer Audit Protocol

Security Recommendations for AI-Agent-Risk-Evaluation

Eliminate dynamic code execution
AI-Agent-Risk-Evaluation evaluates code at runtime (for example eval or dynamic exec). Remove dynamic evaluation of untrusted input, and where code generation is unavoidable, sandbox it and validate every input.
Audit external network connections
AI-Agent-Risk-Evaluation connects to external endpoints. Verify every outbound connection goes to a trusted destination. Unauthorized callbacks are a primary indicator of ClawHavoc malware and data exfiltration. ClawSecure's proprietary engine monitors for known malicious endpoints including C2 infrastructure.
Add a config.json permissions manifest
A config.json file declares what an agent component can access: file system, network, shell execution and more. Without it, users have no visibility into what the component can do before installing. This is the single most impactful security improvement for any AI agent skill.

Related Security Research

Why Generic Scanners Fail at AI Agent SecurityBeyond Static Scans: Why ClawSecure Verifies Agentic Intent

Related AI Agent Security Audits

hermes-agentScore 0/100GUI Agent HarnessScore 0/100braindbScore 0/100System Health Monitor ProScore 0/100clawhubScore 0/100

Scanned on July 22, 2026. AI-Agent-Risk-Evaluation is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.

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